Papers with Code 아카이브

Document Classification

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

하위 태스크: 1
평가표: 22
보존된 평가 기록: 51

Document Classification is a procedure of assigning one or more labels to a document from a predetermined set of labels.

Source: Long-length Legal Document Classification

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/PaddlePaddle/PaddleRec/tree/master/models/recall/deepwalk

DeepWalk: Online Learning of Social Representations

https://github.com/PumpkinYing/GAT

Graph Attention Networks

https://github.com/ROCm/flash-attention

FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

https://github.com/Ramos-Ramos/fruit-fly-net

Can a Fruit Fly Learn Word Embeddings?

https://github.com/RituYadav92/Lightweighted-CNN-for-Document-Classification

Light-Weighted CNN for Text Classification

https://github.com/Robotmurlock/Deepwalk-and-Node2vec

DeepWalk: Online Learning of Social Representations

https://github.com/SVAIGBA/TwASP

ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations

https://github.com/SVAIGBA/WMSeg

ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations

https://github.com/SasCezar/XWikiRE

WikiReading: A Novel Large-scale Language Understanding Task over Wikipedia

https://github.com/TaoQin/taoqin.github.io

BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining

https://github.com/TheophileBlard/french-sentiment-analysis-with-bert

MultiFiT: Efficient Multi-lingual Language Model Fine-tuning

https://github.com/Tixierae/gow_tools

Message Passing Attention Networks for Document Understanding

https://github.com/Tony4469/laser-agir

Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond

https://github.com/TyngJiunKuo/deep-learning-project

Graph Attention Networks

https://github.com/Unbabel/COMET

Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond

https://github.com/UniModal4Reasoning/StructEqTable-Deploy

DocGenome: An Open Large-scale Scientific Document Benchmark for Training and Testing Multi-modal Large Language Models

https://github.com/WantingZhao/my_GAT

Graph Attention Networks

https://github.com/Xue-Alex/sentiment-analysis

Naive Bayes and Text Classification I - Introduction and Theory

https://github.com/YYGe01/ZEN

ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations

https://github.com/Yindong-Zhang/myGAT

Graph Attention Networks

https://github.com/YunseobShin/wiki_GAT

Graph Attention Networks

https://github.com/ZeinabRahbar/Implementation-for-the-paper-of-SEMI-SUPERVISED-CLASSIFICATION-WITH-GRAPH-CONVOLUTIONAL-NETWORKS

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/ZhuangCY/Coding-NN

Revisiting Semi-Supervised Learning with Graph Embeddings

https://github.com/ZhuangCY/DGCN

Revisiting Semi-Supervised Learning with Graph Embeddings

https://github.com/abhilash1910/GraphAttentionNetworks

Graph Attention Networks

https://github.com/abhilash1910/MiniAttention

Hierarchical Attentional Hybrid Neural Networks for Document Classification

https://github.com/abi-kothapalli/minimumdominatingsets

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/adlnlp/Chulo

ChuLo: Chunk-Level Key Information Representation for Long Document Processing

https://github.com/adobe-research/Cross-lingual-Test-Dataset-XTD10

Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning

https://github.com/adrinta/MAGNET

https://github.com/agiresearch/InstructGLM

Revisiting Semi-Supervised Learning with Graph Embeddings

https://github.com/aigen/df-posthoc-calibration

On Calibration of Modern Neural Networks

https://github.com/ajbisberg/gcn

Revisiting Semi-Supervised Learning with Graph Embeddings

https://github.com/ak24watch/Graph-Deeplearning-GAT

Graph Attention Networks

https://github.com/akash18tripathi/MAGNET-Multi-Label-Text-Classi-cation-using-Attention-based-Graph-Neural-Network

Graph Attention Networks

https://github.com/alexOarga/haiku-geometric

Semi-Supervised Classification with Graph Convolutional Networks

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.